Compared with the collaborative filtering algorithm
the Slope One algorithm is faster and easy to implement
however
the algorithm does not consider the recommended level between items. Therefore
this paper proposes a Slope One recommendation algorithm based on weighted bipartite graph. The weighted bipartite graph algorithm calculates the recommended level between the items and uses the recommended level to weight the prediction of the Slope One. Since the recommended level between the items calculated by the bipartite graph recommendation algorithm is asymmetric
the results are more diversified.We test the proposed method by 5-fold cross-validation on the MovieLens with four metrics: ranking score
Recall
Precision and diversification
and the experimental results show that the improved algorithm improves the recommendation accuracy and improves the recommendation diversity.
Zhao Zhengde, Li Jianjun. Based on slope-one hybrid recommendation[C]// Advanced Research and Technology in Industry Applications. IEEE, 2014: 203-205.
Li Q, Han S, Li Y, et al. Threshold optimized slope one algorithm based book recommendation[C]// International conference on Communication Technology and Application. IEEE, 2014: 281-288.